Author(s):
Uffe Kock Wiil
Rasmus Rosenqvist Petersen;
Adriana Lukas;
Abstract:
Quantified Self is a growing community of individuals seeking self-improvement through self-measurement. Initially, personal variables such as diet, exercise, sleep, and productivity are tracked. This data is then explored for correlations, to ultimately either change negative or confirm positive behavioural patterns. Tools and applications that can handle these tasks exist, but they mostly focus on specific domains such as diet and exercise. These targeted tools implement a black box approach to data ingestion and computational analysis, thereby reducing the level of trust in the information reported. We present QS Mapper, a novel tool, that allows users to create two-way mappings between their tracked data and the data model. It is demonstrated how drag and drop data ingestion, interactive explorative analysis, and customisation of computational analysis procures more individual insights when testing Quantified Self hypotheses.
Documentation:
https://ieeexplore.ieee.org/abstract/document/7521104/footnotes#footnotes
References:
K. Augemberg, “Building that perfect quantified self app: Notes to developers part 1”, 2012, [online] Available: http://measuredme.com/2012/10/building-that-perfect-quantified-self-app.
Show in Context Google Scholar
2.
E. K. Choe, N. B. Lee, B. Lee, W. Pratt and J. A. Kientz, “Understanding quantified-selfers’ practices in collecting and exploring personal data”, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems CHI’14, pp. 1143-1152, 2014.
Show in Context CrossRef Google Scholar
3.
E. K. Choe, N. B. Lee, B. L. W. P. and J. A. Kientz, “Understanding quantified-selfers’ practices in collecting and exploring personal data”, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1141-1152, 2014.
Show in Context CrossRef Google Scholar
4.
“Fluxtream”, Fluxtream web application, 2015.
Show in Context Google Scholar
5.
Getting started with google bigquery, 2015.
Show in Context Google Scholar
6.
D. Kleine, “The capability approach and the ‘medium of choice’: steps towards conceptualising information and communication technologies for development”, Ethics and Inf. Technol., vol. 13, no. 2, pp. 119-130, 2011.
Show in Context CrossRef Google Scholar
7.
S. Krug, Don’t Make Me Think: A Common Sense Approach to Web Usability, New Riders:Pearson Education, 2005.
Show in Context Google Scholar
8.
I. Labs, Data sense, 2015.
Show in Context Google Scholar
9.
J. Lanier, Who owns the future?, Penguin, 2014.
Show in Context Google Scholar
10.
J. C. R. Licklider, “Man-computer symbiosis”, IRE transactions on human factors in electronics, pp. 4-11, 1960.
11.
A. Lukas et al., “Proposal for self-hacking vm project to increase analytical capabilities for individual users”, 2015.
Show in Context Google Scholar
12.
C. C. Marshall and F. M. Shipman, “Spatial hypertext: Designing for change”, Commun. ACM, vol. 38, no. 8, pp. 88-97, 1995.
Show in Context CrossRef Google Scholar
13.
M. J. McGuffin, “Simple algorithms for network visualization: A tutorial”, TSINGHUA SCIENCEAND TECHNOLOGY, vol. 77, no. 4, pp. 1-16, 2012.
14.
S. Melnik, A. Gubarev, J. J. Long, G. Romer, S. Shivakumar, M. Tolton, et al., “Dremel: Interactive analysis of web-scale datasets”, Proceedings of the VLDB Endowment, vol. 3, no. 1, 2010.
Show in Context CrossRef Google Scholar
15.
R. R. Petersen, Criminal Network Investigation: Processes Tools and Techniques, Odense, Denmark, 2012.
Show in Context Google Scholar
16.
R. R. Petersen and U. K. Wiil, “Asap: A lightweight tool for agile planning”, Proceedings of the 4th International Conference on Software and Data Technologies (ICSOFT), pp. 265-272, 2009.
Show in Context Google Scholar
17.
“QS”, Quantified self europe, 2014, [online] Available: http://quantifiedself.com/conference/Amsterdam-2014/.
Show in Context Google Scholar
18.
rtracker, 2015.
Show in Context Google Scholar
19.
K. Sierra, Badass: Making Users Awesome, O’Reilly, 2015.
Show in Context Google Scholar
20.
M. Swan, “The quantified self: Fundamental disruption in big data science and biological discovery”, Big Data, vol. 1, no. 2, pp. 85-99, 2013.
Show in Context CrossRef Google Scholar
21.
“Track and Apps S”, Tracknshare, 2015, [online] Available: http://www.trackandshareapps.com/.